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High speed network impacts and power consumption estimation for cloud data centers

Published: 13 April 2015 Publication History

Abstract

Networking technology in data centers is limited by Ethernet speed, and a standard for 10 Tbps Ethernet is already envisioned. In this paper, we seek to understand and analyze the energy impact of increasing the network speed in the energy consumption in data centers that operate in a cloud with virtual machine migration. We consider four scheduling algorithms of virtual machines for workload scheduling. Results obtained by simulation show that from the energy consumption point of view, the bandwidth of non-federated data centers significantly impacts the intra cloud scheduling process, and this should be considered when choosing a scheduling algorithm. We also found that the makespan has minimal impact with this increased bandwidth in data centers, while the number of migrations increases greatly. We also develop an empirical model to estimate the power consumption based on bandwidth for studied scenarios, where there is an upper limit of bandwidth that impacts the energy consumption, after which virtually no changes are noticed.

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Cited By

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  • (2018)Energy-Aware Virtual Machine Scheduling on Data Centers with Heterogeneous BandwidthsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2017.275324729:1(83-98)Online publication date: 1-Jan-2018
  • (2018)BULLETJournal of Network and Systems Management10.1007/s10922-017-9419-y26:2(361-400)Online publication date: 1-Apr-2018
  • (2015)On Makespan, Migrations, and QoS Workloads' Execution Times in High Speed Data CentersIEICE Transactions on Communications10.1587/transcom.E98.B.2099E98.B:11(2099-2110)Online publication date: 2015

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cover image ACM Conferences
SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing
April 2015
2418 pages
ISBN:9781450331968
DOI:10.1145/2695664
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 April 2015

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Author Tags

  1. cloud computing
  2. green data centers
  3. network speed
  4. virtual machine migration

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  • Research-article

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SAC 2015
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SAC 2015: Symposium on Applied Computing
April 13 - 17, 2015
Salamanca, Spain

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SAC '15 Paper Acceptance Rate 291 of 1,211 submissions, 24%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

View all
  • (2018)Energy-Aware Virtual Machine Scheduling on Data Centers with Heterogeneous BandwidthsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2017.275324729:1(83-98)Online publication date: 1-Jan-2018
  • (2018)BULLETJournal of Network and Systems Management10.1007/s10922-017-9419-y26:2(361-400)Online publication date: 1-Apr-2018
  • (2015)On Makespan, Migrations, and QoS Workloads' Execution Times in High Speed Data CentersIEICE Transactions on Communications10.1587/transcom.E98.B.2099E98.B:11(2099-2110)Online publication date: 2015

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